Full-Time

Business Intelligence Developer

Blue Water Thinking

Blue Water Thinking

No salary listed

No H1B Sponsorship

Remote in USA

Remote

Remote role for a candidate based in the United States.

Bachelor's, Master's

Category
Data & Analytics (2)
,
Required Skills
Power BI
Python
SAS
R
SQL
Machine Learning
Tableau
Data Analysis
Requirements
  • Bachelor’s degree (BA/BS) in Data Science, Statistics, Health Informatics, or a related field.
  • Minimum of 8 years of experience in data analysis, preferably in a healthcare or federal environment.
  • Proficiency in statistical software and programming languages (e.g., Python, R, SAS).
  • Strong experience with data visualization tools such as Tableau, Power BI, or Qlik.
  • Demonstrated ability to interpret complex datasets and communicate findings to non-technical audiences.
  • Familiarity with VHA systems and data repositories, including CDW and VistA.
Responsibilities
  • Work with technical teams to design and implement data collection tools and techniques to ensure the appropriate integrity, frequency, and confidence is achieved.
  • Create data pipelines that utilize data sources via Python SQL and/or Azure Data factory.
  • Extrapolate data patterns using advanced algorithms to identify actionable insights.
  • Develop graphs, charts, and visualizations to communicate complex technical findings.
  • Present analytical outcomes to managers and stakeholders to guide business model adjustments and future planning.
  • Collect, clean, and validate large datasets from multiple VA sources.
  • Translate raw data into meaningful reports that support healthcare transformation goals.
  • Collaborate with cross-functional teams to align data strategies with program objectives.
  • Support predictive modeling and trend analysis to improve veteran healthcare delivery.
Desired Qualifications
  • Master’s degree in Data Analytics, Public Health, or related discipline.
  • Experience supporting federal healthcare programs, especially within the Department of Veterans Affairs.
  • Experience with machine learning models and predictive analytics in healthcare settings.
  • Active Public Trust clearance.

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